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Introducing RAGApp 💫 A no-code interface to configure a RAG chatbot, as dead-simple as GPTs by OpenAI. It’s a docker container that’s easily deployable in any cloud infrastructure. Best of all, it’s fully open-source 🔥 1️⃣ Setup the LLM: Configure the model provider (OpenAI, Gemini) 2️⃣ Setup the data:...

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LlamaIndex 🦙

116,177 subscribers

123,977 просмотров • 2 лет назад •via X (Twitter)

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Комментарии: 7

Фото профиля Kent Langley
Kent Langley2 лет назад

@OpenAI that may be the easiest and fastest I have ever been able to create anything that useful in this category. very nice work.

Фото профиля Alignment Lab AI
Alignment Lab AI2 лет назад

@OpenAI srsly give it a shot vectors are for data science, databases are for databasing

Фото профиля David Alexander
David Alexander2 лет назад

A solution like this is great, but like the other OS solutions that offer a prebuilt chat interface, like Streamlit, LangChain, Flowise, the interface is well, not the most pretty. It’s great for a quick test and prototype, but I couldn’t imagine anyone putting it into production. Open Chat UI, is an example of something you could actually put into production. IMHO

Фото профиля Alex Avery
Alex Avery2 лет назад

@OpenAI is there a limit to the size of the knowledge base?

Фото профиля Artur Formella
Artur Formella2 лет назад

@OpenAI Finally! :)

Фото профиля Houdini
Houdini2 лет назад

@OpenAI For extended functionality. How about if I want to get the LLM to gather and digest data for me from a site that has an API access for example a blockchain site. How do I go about that?

Фото профиля Bryce Amacker
Bryce Amacker2 лет назад

@OpenAI @memdotai mem it

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